Customer Engineering Director in India

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer

About the Role We are seeking an experienced Privacy Lead to establish, manage, and continuously enhance the organization's Privacy Program across business functions, products, technology platforms, and third-party ecosystems. The ideal candidate will possess deep expertise in privacy regulations including India's Digital Personal Data Protection Act (DPDP Act), GDPR, and privacy governance frameworks. The individual will partner closely with Legal, Compliance, Information Security, Product, Engineering, Risk, HR, and Business teams to ensure privacy-by-design principles are embedded into organizational processes and technology solutions. The Privacy Lead will serve as the subject matter expert for privacy governance, regulatory compliance, privacy risk management, data subject rights management, privacy impact assessments, and data protection controls. Key Responsibilities Privacy Governance & Strategy -Develop and execute the enterprise-wide Privacy Program and Privacy Governance Framework. -Define privacy policies, standards, procedures, and controls aligned with regulatory requirements. -Establish Privacy-by-Design and Privacy-by-Default principles across products and services. -Build privacy risk management and privacy control monitoring mechanisms. -Advise executive leadership on emerging privacy risks and regulatory developments. -Act as the organization's privacy subject matter expert for audits, inspections, and regulatory reviews. Regulatory Compliance Lead compliance initiatives for: -Digital Personal Data Protection Act (DPDP Act), India -GDPR (General Data Protection Regulation) -ISO 27701 Privacy Information Management System -RBI data governance and customer data protection requirements -Applicable privacy and data protection obligations relevant to the Banking, FinTech, Payments, and Technology sectors Responsibilities include: -Regulatory gap assessments -Compliance monitoring -Privacy control implementation -Privacy risk assessmen

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Product Manager, Product Platform (India) Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Product Manager, Product Platform This is a rare 0-to-1 opportunity to build a brand-new, high-visibility capability that touches every Okta customer: backup and recovery to strengthen the resilience of our system. You’ll be responsible for building a modern, self-service experience that allows IT Admins to recover back their accidentally or maliciously deleted identity objects. You'll partner closely with Engineering, Field, Pricing & Packaging, and Product leadership to shape a capability with direct, measurable impact on customer retention and revenue growth. Key Responsibilities Contribute to the long-term product vision and strategy for Okta's resilience strategy, ensuring the backup and recovery roadmap scales with the breadth of Okta's customer base and product portfolio. Design a self-service recovery center to ensure customers can seamlessly and securely track their deletions and changes and revert back across the entire Okta ecosystem. Collaborat e with India-based engineering and development scrum teams to d

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

Job Title Production Planner Job Description Production Planner Your Role: Job Responsibilities: • Ensures on-time delivery of customer orders by managing the quality of planning-related master data in close cooperation with Enterprise Information Management (EIM). • Generates a feasible/final Master Production Schedule (MPS) from the Initial/semi-final MPS provided by the Supply Planning function. • Develops a feasible Detailed Production Schedule (DPS) and Material Requirements Plan (MRP) from the MPS while minimizing changeover times in collaboration with Production/Operations Management. • Works diligently to optimize the utilization of both workforce and equipment, strategizing to enhance efficiency and productivity across production operations. • Coordinates planning-related master data in concert with Enterprise Information Management (EIM), ensuring data integrity and consistency to facilitate effective decision-making. • Releases meticulously crafted production schedules to the shop floor, ensuring that operational activities align seamlessly with organizational objectives and priorities. • Facilitates regular and structured planning handshake meetings with Production/Operations Management, fostering open communication channels to address challenges, align priorities, and drive operational excellence. • Engages in troubleshooting production orders and materials, promptly identifying and resolving issues to maintain operational continuity and uphold delivery commitments. You Are a Great Fit If: • Bachelor’s degree in computer science, Software Engineering, Electronics, Information Technology, or a related engineering discipline. • Minimum 2 years till 5 years of experience in production plant or manufacturing site or equivalent. Exte

Job Title Project Manager – CAPA & Complaints Job Description Project Manager – CAPA & Complaints Your Role: Coordinate teams across Quality, R&D, Engineering, Manufacturing, Operations, Supply Chain, Procurement, Regulatory, Service and Customer Quality. Identify recurring CAPA themes and opportunities for systemic improvement. Coordinate implementation of corrective/preventive actions, including process, product, system and documentation changes. Maintain CAPA dashboards and management reporting. Drive accountability across CAPA action owners. Own and track business KPIs related to complaint and investigation timelines, quality, and throughput. Provide regular KPI, progress, and risk updates to leadership and key stakeholders. Drive timely closure of complaints and investigations through structured follow-up with action owners. You're the Right Fit If: Bachelor's or Master's degree in Mechanical/Electronics Engineering Experience: 10+ years in Project Management , preferably with CAPA and Complaints Handling in Medical Devices. Strong knowledge of Quality Management Systems and risk-management principles. Skills : Strong data analytics skills with the ability to derive insights from operational and performance data. Excellent stakeholder management and communication skills across multiple organizational levels. Strong presentation and reporting capabilities, including development of executive-level dashboards and updates. Proven ability to drive accountability and coordinate cross-functional teams without direct authority. Experience in process improvement, operational excellence, and AI

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview About Ethoca Ethoca, a Mastercard company, is a global collaboration-based technology services provider that connects card issuers and merchants to combat fraud, enhance customer experience, and prevent disputes. To support our continued growth and success, we are seeking a talented Senior Software Engineer to join the Ethoca team. In this role you will be part of a highly agile team building exciting and innovative products delivered at scale to global markets. Role The Senior Software engineer will work within a cross-functional development team to estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements and enhance Ethoca’s product suite. This position requires collaboration with other engineering teams to deliver a wide range of strategic and tactical solutions. The ideal candidate should be proficient in entire SDLC including automation and product analysis. Given the diverse set of tools and services used across the business, the candidate will be exposed to various technologies and should possess a willingness to learn and adapt. You are passionate about design and technology and committed to doing things properly to avoid tech debt. • Participate in team prioritisation disc

About the Team Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI’s growth for years to come, and we’re looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on. OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving that mission requires more than great models, it demands a world-class commercial platform that enterprises can trust. The Revenue Platform team enables organizations to confidently adopt, scale, and manage their usage of OpenAI products by providing reliable, extensible financial infrastructure and shared services that power the broader ecosystem. We’re looking for a full-stack engineer to take end-to-end ownership of critical revenue workflows and the platform abstractions behind them. You’ll work across APIs, data models, shared services, and user interfaces to solve hard problems in scale, correctness, and usability. Partnering closely with Product, Finance, Sales, Operations, and other engineering teams, you’ll turn complex business requirements into durable platform capabilities, raising the bar on engineering quality and developer experience as our products and enterprise footprint grow. About the Role As a Full Stack Engineer on the Revenue Platform team, you will design, build, and operate platform services and user-facing interfaces that form the backbone of OpenAI’s commercial engine. You’ll collaborate with product, design, finance, and engineering partners to deliver intuitive customer experiences while also

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Title- Product Management - Lending About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Expectation: - Working closely with business, growth, design & cross-functional teams to understand product use cases, customer journeys, business applicability and impact of each use case. - Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables - Own end-to-end product lifecycle for lending journeys – onboarding, credit decisioning, disbursement, repayment, and closure. - Define and optimize funnels to drive adoption, reduce drop-offs, and improve approval/disbursement rates. - Use data to identify bottlenecks, define hypotheses, run experiments (A/B), and track impact. - Be involved in what your team is building - Run edge cases, test products proactively and its features to provide feedback early in the cycle, make sure entire journeys are covered, and that product reporting exists to track KPIs for the product and its success (data-driven product management). - Use SQL or comparable query languages/excel etc to access, analyze, and validate data independently - Track key product and data metrics (OKRs and KPIs), adjusting strategies as needed for product optimization - Stay updated with RBI regulations, compliance norms, best industry practices and credit bureau practices. Superpowers that will help you succeed in this role: - Bachelor’s degree in engineering, computer science and/or related field with MBA from Top Tier colleges - Professional experience of 3-5 years in product management - Having deep underst